ENCODING/DECODING METHOD AND APPARATUS FOR MOTION VECTOR INFORMATION

    公开(公告)号:US20220103826A1

    公开(公告)日:2022-03-31

    申请号:US17420696

    申请日:2020-01-03

    Abstract: The present application provides a method for encoding motion vector information, including: determining, for a current block, one or more combinations of motion vector predictions and motion vector resolutions, based on a correspondence between motion vector resolutions in an MVR (motion vector resolution) list and motion vector predictions in a history-based motion vector prediction list; determining a combination of a motion vector resolution and a motion vector prediction for the current block from the determined one or more combinations; determining, for the current block, a prediction vector difference based on the motion vector prediction and the motion vector information of the current block; and encoding, into a bitstream, at least the final motion vector resolution information indicating the motion vector resolution and the motion vector prediction and motion vector difference information indicating the prediction vector difference.

    METHOD FOR ENCODING IMAGES AND CORRESPONDING TERMINALS

    公开(公告)号:US20210235085A1

    公开(公告)日:2021-07-29

    申请号:US16967059

    申请日:2020-01-22

    Abstract: The present invention provides a method for encoding an image and corresponding terminals. The method includes steps of: determine the related coding information of the raw image to be processed according to the feature information of the raw image to be processed; and encode the raw image to be processed according to the related coding information. In the present invention, the encoded raw image is transmitted to a cloud server via network, and the decoded and reconstructed raw image is optimized by the ISP module in the cloud server. Compared with the prior art where complex algorithms cannot be implemented by the ISP module in the terminal due to the limitation of its computing capacity, the present invention significantly improves the perceptual quality of the user viewing image by adopting more sophisticated image processing algorithms, while increasing the image compression ratio.

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